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{
}
template <class ElemType>
void GPUMatrix<ElemType>::MaxPoolingForward(const GPUMatrix<int>& mpRowCol, const GPUMatrix<int>& mpRowIndices, const GPUMatrix<int>& indices, GPUMatrix<ElemType>& output) const
{
}
template <class ElemType>
void GPUMatrix<ElemType>::MaxPoolingBackward(const GPUMatrix<ElemType>& out, const GPUMatrix<ElemType>& in,
const GPUMatrix<int>& mpRowCol, const GPUMatrix<int>& mpRowIndices, const GPUMatrix<int>& indices,
GPUMatrix<ElemType>& grad, bool accumulateGradient) const
{
}
template <class ElemType>
void GPUMatrix<ElemType>::MaxUnpooling(const GPUMatrix<int>& mpRowCol, const GPUMatrix<int>& mpRowIndices, const GPUMatrix<int>& indices, const GPUMatrix<ElemType>& poolInput, GPUMatrix<ElemType>& input) const
{
}
template <class ElemType>
void GPUMatrix<ElemType>::AveragePoolingForward(const GPUMatrix<int>& mpRowCol, const GPUMatrix<int>& mpRowIndices, const GPUMatrix<int>& indices, GPUMatrix<ElemType>& output) const
{
}
template <class ElemType>
void GPUMatrix<ElemType>::AveragePoolingBackward(const GPUMatrix<int>& mpRowCol, const GPUMatrix<int>& mpRowIndices, const GPUMatrix<int>& indices, GPUMatrix<ElemType>& grad, bool accumulateGradient) const
{
}
template <class ElemType>
template <class StatType>
void GPUMatrix<ElemType>::BatchNormalizationForward(const GPUMatrix<StatType>& scale, const GPUMatrix<StatType>& bias, bool inferenceOnly, double expAvgFactor, double blendFactor,
GPUMatrix<StatType>& runMean, GPUMatrix<StatType>& runVariance, GPUMatrix<ElemType>& out, double epsilon,
GPUMatrix<StatType>& saveMean, GPUMatrix<StatType>& saveInvStdDev) const
{
}
template <class ElemType>
template <class StatType>
void GPUMatrix<ElemType>::BatchNormalizationBackward(const GPUMatrix<ElemType>& in, GPUMatrix<ElemType>& grad, const GPUMatrix<StatType>& scale, double blendFactor,
const GPUMatrix<StatType>& saveMean, const GPUMatrix<StatType>& saveInvStdDev,
GPUMatrix<StatType>& scaleGrad, GPUMatrix<StatType>& biasGrad) const
{
}
template <class ElemType>
void GPUMatrix<ElemType>::RNNForward(const GPUMatrix<ElemType> &inputX, const GPUMatrix<ElemType> &paramW, size_t xDim, size_t yDim, const vector<size_t>& numSequencesForFrame, const RnnAttributes& rnnAttributes, GPUMatrix<ElemType>& reserve, GPUMatrix<ElemType>& workspace)
{
}
template <class ElemType>
void GPUMatrix<ElemType>::RNNBackwardData(const GPUMatrix<ElemType>& outputDY, const GPUMatrix<ElemType>& paramW, GPUMatrix<ElemType>& outputDX, const RnnAttributes& rnnAttributes, GPUMatrix<ElemType>& reserve, GPUMatrix<ElemType>& workspace)
{
}
template <class ElemType>
void GPUMatrix<ElemType>::RNNBackwardWeights(const GPUMatrix<ElemType>& inputX, const GPUMatrix<ElemType>& outputY, GPUMatrix<ElemType>& dw, const RnnAttributes& rnnAttributes, GPUMatrix<ElemType>& reserve, GPUMatrix<ElemType>& workspace)
{
}
#pragma endregion Other helper functions
#pragma region Static BLAS Functions
template <class ElemType>
void GPUMatrix<ElemType>::MultiplyAndWeightedAdd(ElemType alpha, const GPUMatrix<ElemType>& /*a*/, const bool transposeA, const GPUMatrix<ElemType>& /*b*/, const bool transposeB,
ElemType beta, GPUMatrix<ElemType>& c)
{
}
template <class ElemType>
void GPUMatrix<ElemType>::Multiply1x1AndWeightedAdd(ElemType alpha, const GPUMatrix<ElemType>& lhs, const GPUMatrix<ElemType>& rhs, ElemType beta, GPUMatrix<ElemType>& c)
{
}
template <class ElemType>
void GPUMatrix<ElemType>::MultiplyAndAdd(const GPUMatrix<ElemType>& /*a*/, const bool transposeA, const GPUMatrix<ElemType>& /*b*/, const bool transposeB, GPUMatrix<ElemType>& c)
{
}
template <class ElemType>
void GPUMatrix<ElemType>::Multiply(const GPUMatrix<ElemType>& /*a*/, const bool transposeA, const GPUMatrix<ElemType>& /*b*/, const bool transposeB, GPUMatrix<ElemType>& c)
{
}
template <class ElemType>
void GPUMatrix<ElemType>::Multiply(const GPUMatrix<ElemType>& /*a*/, const GPUMatrix<ElemType>& /*b*/, GPUMatrix<ElemType>& c)
{
}
template <class ElemType>
void GPUMatrix<ElemType>::ColumnwiseScaleAndWeightedAdd(ElemType alpha, const GPUMatrix<ElemType>& a, const GPUMatrix<ElemType>& v, ElemType beta, GPUMatrix<ElemType>& c)
{
}
/// <summary>Matrix-scalar multiply with col-major matrices: c = alpha * a + c</summary>
/// if a is a column vector, add to all columns of c
/// if a is a row vector, add to all rows of c
/// if a is a scalar, add to all elements of c
/// <param name="alpha">Scalar</param>
/// <param name="a">Input matrix</param>